Introduction to Blithequark
At blithequark, we are driven by a passion for harnessing the power of data to solve dynamic problems that shape the future of retail. With the largest of big data sets at our disposal, we are committed to empowering our team members, stores, and suppliers with technological innovation. Our mission is to help people save money and live better, and as a blithequark associate, you will play a vital role in shaping the future of retail, tech, merchandising, finance, and many other industries.
Job Overview
We are seeking an experienced Staff Data Scientist to join our Data Ventures team, a nimble startup incubated within blithequark. As a Staff Data Scientist, you will work as the tech lead for all data science-related work, focusing on Customer Data Science initiatives that drive business growth and improvement. You will mentor junior colleagues, implement best practices, and develop innovative solutions to complex problems.
Key Responsibilities
- Data Source Identification: Understand the concerned order of requirements and service level agreements, define and identify the most appropriate resources for required data, and perform initial data quality tests.
- Problem Formulation: Analyze business problems, identify and recommend methods to solve them, and set data analytics goals and deliverables based on success criteria.
- Analytical Modeling: Select suitable modeling strategies for complex problems, develop variables and functions iteratively, and conduct exploratory data analysis activities.
- Model Deployment & Scaling: Work with MLOps to push ML models to production, continuously log and track model behavior, and identify model parameters that may need adjustments.
- Code Development & Testing: Write code to develop the specified solution, create test cases, and contribute to code documentation and playbooks.
- Applied Business Acumen: Evaluate proposed business cases, influence stakeholder decision-making, and translate business requirements into strategies and initiatives.
- Model Assessment & Validation: Identify and review model assessment metrics, apply appropriate methods for model testing and tuning, and ensure testing data is documented and maintained.
- Data Visualization and Storytelling: Identify and recommend the most appropriate visualization tools, generate graphical representations of data and model outcomes, and build compelling stories to integrate multiple pieces of data into cohesive insights.
Essential Qualifications
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
- 4 years of experience in an analytics-related field, with deep knowledge and understanding of machine learning, statistics, and data science.
- Strong programming skills in at least one of Python/R, with the ability to execute projects end-to-end with junior colleagues.
- Ability to implement best practices in ML Ops, coding standards, and clearly communicate with business, product, and application partners.
Preferred Qualifications
- Advanced degree in a related field, with a strong academic background in machine learning, statistics, and data science.
- Experience working with large-scale data sets, with a proven track record of developing and deploying ML models in a production environment.
- Strong business acumen, with the ability to influence stakeholder decision-making and translate business requirements into strategies and initiatives.
Career Growth Opportunities and Learning Benefits
At blithequark, we are committed to providing our associates with opportunities for growth and development. As a Staff Data Scientist, you will have access to training and development programs, mentorship, and opportunities to work on complex and challenging projects. You will also have the opportunity to collaborate with cross-functional teams, including business, product, and application partners, to drive business growth and improvement.
Work Environment and Company Culture
Our work environment is dynamic and fast-paced, with a focus on innovation and collaboration. We believe in empowering our associates to take ownership of their work and make decisions that drive business growth and improvement. Our company culture is built on a foundation of respect, inclusivity, and diversity, with a commitment to creating a workplace where everyone feels valued and supported.
Compensation, Perks, and Benefits
We offer a competitive salary range of $30-40 per hour, with opportunities for bonuses and stock options. Our benefits package includes multiple health plan options, financial benefits such as 401(k) and stock buy plans, associate discounts in-store and online, education assistance, parental leave, and paid time off. We also offer a range of perks, including flexible working hours, remote work options, and access to cutting-edge technology and tools.
Conclusion
If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Staff Data Scientist at blithequark, you will have the opportunity to work on complex and challenging projects, collaborate with cross-functional teams, and drive business growth and improvement. Apply now to join our team and take the first step towards a rewarding and successful career at blithequark.
Apply Now
Apply Now